Published 1996 | Version v1
Book

Fuzzy algorithmic and knowledge-based decision support in nuclear engineering

Description

Fuzzy Set Theory was originally conceived as a means to model non- stochastic uncertainty. In the meantime it has matured to Fuzzy Technology and - together with Neural Nets and Genetic Algorithms - to Computational Intelligence. The goals have expanded considerably. In addition to uncertainty modeling, relaxation, compactification and meaning preserving reasoning have become major objectives. Nuclear engineering is one of the areas with a large potential for applications of Fuzzy Technologies, in which, however, the development is still at the beginning. This paper tries to survey applications and point to some potential applications which have not yet been realized

Part of:
Intelligent systems and soft computing for nuclear science and industry

Additional details

Publishing Information

Publisher
World Scientific Publishing Co. Pte. Ltd.
Imprint Place
Singapore (Singapore)
Imprint Title
Fuzzy Logic and Intelligent Technologies in Nuclear Science
Imprint Pagination
408 p.
Journal Page Range
p. 1-7

Conference

Title
2. International FLINS Workshop
Dates
25-27 Sep 1996
Place
Mol (Belgium)

INIS

Country of Publication
Singapore
Country of Input or Organization
Belgium
INIS RN
31000188
Subject category
S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ARTIFICIAL INTELLIGENCE; DECISION MAKING; EXPERT SYSTEMS; FORECASTING; FUZZY LOGIC; KNOWLEDGE BASE; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBABILISTIC ESTIMATION; PROBABILITY; RELIABILITY; SET THEORY; STATISTICS
Descriptors DEC
MATHEMATICAL LOGIC; MATHEMATICS

Optional Information